Text-to-Image
Diffusers
English
Text-to-Image
IP-Adapter
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use InstantX/FLUX.1-dev-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-IP-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/FLUX.1-dev-IP-Adapter", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
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@@ -59,7 +59,7 @@ from transformer_flux import FluxTransformer2DModel
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from attention_processor import IPAFluxAttnProcessor2_0
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from transformers import AutoProcessor, SiglipVisionModel
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from infer_flux_ipa_siglip import MLPProjModel, IPAdapter
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image_encoder_path = "google/siglip-so400m-patch14-384"
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ipadapter_path = "./ip-adapter.bin"
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from attention_processor import IPAFluxAttnProcessor2_0
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from transformers import AutoProcessor, SiglipVisionModel
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from infer_flux_ipa_siglip import resize_img, MLPProjModel, IPAdapter
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image_encoder_path = "google/siglip-so400m-patch14-384"
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ipadapter_path = "./ip-adapter.bin"
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